Laurent Charlin

Artificial Intelligence · with Chételat · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 14 citations into it
• Computational Theory and Mathematics — 10 citations into it
• Reinforcement Learning — 7 citations into it
• Computer Vision and Pattern Recognition — 5 citations into it
• Industrial and Manufacturing Engineering — 5 citations into it

Whom Laurent Charlin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma

Papers from Laurent Charlin's perspective

Ordered by how strongly the researchers Laurent Charlin trusts endorse each paper. Same corpus, a different order for every researcher.

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Reinforcement Learning: An Introduction
3. ImageNet classification with deep convolutional neural networks
4. Understanding the difficulty of training deep feedforward neural networks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Attention is All you Need (Neural Information Processing Systems)
8. Long Short-Term Memory
9. Learning Multiple Layers of Features from Tiny Images
10. Gated Graph Sequence Neural Networks

Their papers

• Exact Combinatorial Optimization with Graph Convolutional Neural Networks (2019) — 647 citations